Triple

T6184964
Position Surface form Disambiguated ID Type / Status
Subject Butuanon E138032 entity
Predicate hasAlternativeName P39 FINISHED
Object Butuanon language E170147 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Butuanon language | Statement: [Butuanon, hasAlternativeName, Butuanon language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Butuanon language
Context triple: [Butuanon, hasAlternativeName, Butuanon language]
  • A. Butuanon language chosen
    The Butuanon language is an Austronesian language spoken primarily in and around Butuan City in Mindanao, Philippines.
  • B. Balangao language
    The Balangao language is an Austronesian language spoken by the Balangao people in the Mountain Province of the northern Philippines.
  • C. Hanunoo language
    The Hanunoo language is an Austronesian language spoken by the Hanunoo Mangyan people of Mindoro in the Philippines, notable for its indigenous syllabic script and rich oral poetic tradition.
  • D. Surigaonon language
    Surigaonon language is an Austronesian language spoken primarily in the Surigao region of Mindanao in the southern Philippines.
  • E. Darug language
    The Darug language is an Indigenous Australian Aboriginal language traditionally spoken by the Darug people of the Sydney region in New South Wales.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062150fc48190877240abe6b6c636 completed March 22, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243d333e48190b1cb9ffd769f5473 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:19 p.m.